Computing system with resource management mechanism and method of operation thereof

Abstract

A computing system includes: an activity-schedule module configured to identify a future activity estimation for representing an activity occurring after a current time; a usage module, coupled to the activity-schedule module, configured to generate a consumption model associated with the future activity estimation for describing a resource; a model generator module, coupled to the usage module, configured to determine a cost model for evaluating an access location; and a selection module, coupled to the model generator module, configured to determine an optimal access selection based on the cost model and the consumption model for displaying on a device.

What is claimed is: 
     
         1 . A computing system comprising:
 an activity-schedule module configured to identify a future activity estimation for representing an activity occurring after a current time;   a usage module, coupled to the activity-schedule module, configured to generate a consumption model associated with the future activity estimation for describing a resource;   a model generator module, coupled to the usage module, configured to determine a cost model for evaluating an access location; and   a selection module, coupled to the model generator module, configured to determine an optimal access selection based on the cost model and the consumption model for displaying on a device.   
     
     
         2 . The system as claimed in  claim 1  wherein:
 the model generator module is configured to determine the cost model including a cost-category; and 
 the selection module is configured to determine the optimal access selection having a source attribute corresponding to the cost-category. 
 
     
     
         3 . The system as claimed in  claim 1  further comprising:
 an access-detail module, coupled to the activity-schedule module, configured to determine an inference set for accessing the resource; and 
 
       wherein:
 the selection module is configured to determine the optimal access selection from the inference set. 
 
     
     
         4 . The system as claimed in  claim 1  wherein:
 the activity-schedule module includes a context module configured to determine a contextual parameter without using a calendar entry; and 
 the activity-schedule module is configured to identify the future activity estimation based on the contextual parameter. 
 
     
     
         5 . The system as claimed in  claim 1  wherein:
 the activity-schedule module includes a context module configured to determine a future context associated with the future activity estimation for identifying the resource; and 
 the selection module is configured to determine the optimal access selection for providing the resource. 
 
     
     
         6 . The system as claimed in  claim 1  wherein:
 the activity-schedule module includes a context module configured to determine a future context associated with the future activity estimation; and 
 
       further comprising:
 a notice module, coupled to the selection module, configured to generate a resource planning content based on the future context for managing the resource for displaying on the device. 
 
     
     
         7 . The system as claimed in  claim 6  wherein the notice module is configured to generate a schedule adjustment for accessing the resource based on the future activity estimation. 
     
     
         8 . The system as claimed in  claim 6  wherein the notice module is configured to generate an access-route for accessing the resource based on the future activity estimation. 
     
     
         9 . The system as claimed in  claim 6  further comprising:
 an access-detail module, coupled to the activity-schedule module, configured to generate an access model for representing the resource for using the device; and 
 
       wherein:
 the notice module is configured to generate the resource planning content based on the future activity estimation and the access model. 
 
     
     
         10 . The system as claimed in  claim 6  wherein:
 the notice module is configured to determine an affirmative response to the resource planning content; and 
 
       further comprising:
 a response module, coupled to the notice module, configured to generate a configuration-adjustment profile based on the affirmative response for using the device. 
 
     
     
         11 . A method of operation of a computing system comprising:
 identifying a future activity estimation for representing an activity occurring after a current time;   generating a consumption model associated with the future activity estimation for describing a resource;   determining a cost model for evaluating an access location; and   determining an optimal access selection based on the cost model and the consumption model for displaying on a device.   
     
     
         12 . The method as claimed in  claim 11  wherein:
 determining the cost model includes determining the cost model including a cost-category; and 
 determining the optimal access selection includes determining the optimal access selection having a source attribute corresponding to the cost-category. 
 
     
     
         13 . The method as claimed in  claim 11  further comprising:
 determining an inference set for accessing the resource; and 
 
       wherein:
 determining the optimal access selection includes determining the optimal access selection from the inference set. 
 
     
     
         14 . The method as claimed in  claim 11  further comprising:
 determining a contextual parameter without using a calendar entry; and 
 
       wherein:
 identifying the future activity estimation includes identifying the future activity estimation based on the contextual parameter. 
 
     
     
         15 . The method as claimed in  claim 11  further comprising:
 determining a future context associated with the future activity estimation for identifying the resource; 
 
       wherein:
 determining the optimal access selection includes determining the optimal access selection for providing the resource. 
 
     
     
         16 . A non-transitory computer readable medium including instructions comprising:
 identifying a future activity estimation for representing an activity occurring after a current time;   generating a consumption model associated with the future activity estimation for describing a resource;   determining a cost model for evaluating an access location; and   determining an optimal access selection based on the cost model and the consumption model for displaying on a device.   
     
     
         17 . The non-transitory computer readable medium as claimed in  claim 16  wherein:
 determining the cost model includes determining the cost model including a cost-category; and 
 determining the optimal access selection includes determining the optimal access selection having a source attribute corresponding to the cost-category. 
 
     
     
         18 . The non-transitory computer readable medium as claimed in  claim 16  further comprising:
 determining an inference set for accessing the resource; and 
 
       wherein:
 determining the optimal access selection includes determining the optimal access selection from the inference set. 
 
     
     
         19 . The non-transitory computer readable medium as claimed in  claim 16  further comprising:
 determining a contextual parameter without using a calendar entry; and 
 
       wherein:
 identifying the future activity estimation includes identifying the future activity estimation based on the contextual parameter. 
 
     
     
         20 . The non-transitory computer readable medium as claimed in  claim 16  further comprising:
 determining a future context associated with the future activity estimation for identifying the resource; 
 
       wherein:
 determining the optimal access selection includes determining the optimal access selection for providing the resource.